The Impact Of Work Culture And Job Satisfaction With Drivers: Total Effect Regression Test Using JASP

The research used JASP software to run the primary data collected and reported on SEM, PLS, and Bootsrap Significance. The results indicated that there is a total positive significance relationship as a total effect between work culture (independent variable) and job satisfaction (dependent variable). JASP is been named after a Bayesian pioneer called Sir Harold Jeffreys, which stands for Jeffrey’s Amazing Statistical Program. The results of the study were calculated on the following that is model fit, AIC, BIC, fit indices, other fit measures, R2 , factor loadings, weights, regression coefficients, factor variance, and residual variance. This research was a quantitative study via survey in Metro Mass Transit, a population of 138 permanent drivers was the target population with a sample size of 102 using Krasjcie and Morgan's (1970) formula. This is a deductive study based on a probability sampling technique. The hypothesis was satisfied. The researcher want this research findigs to be more educative in JASP by presenting all these analysis in comparison for clear understanding and distinctions.

Keywords: Work culture, Job satisfaction, JASP, SEM, PLS, Bootstrap.